introduction: the purpose of this research was to evaluate the performance of the hospitals’ managers affiliated to medical university of isfahan by data envelopment analysis (dea) method. also since some attributes of performance are qualitative, analytical hierarchy process (ahp) method was used also to quantify the data. methods: this research was practical in purpose and descriptive-analyti...

introduction: nowadays different countries benefit from health system based on health cards and projects related to smart cards. lack of facilities which cover this technology is obvious in our society. this paper aims to design minimum data sets of health smart card system for iran. methods: this research was an applied descriptive study. at first, we reviewed the same projects and guidelines ...

Identifying reproducible yet relevant features is a major challenge in biological research. This is well documented in genomics data. Using a proposed set of three reliability benchmarks, we find that this issue exists also in proteomics for commonly used feature-selection methods, e.g. [Formula: see text]-test and recursive feature elimination. Moreover, due to high test variability, selecting...

BACKGROUND Posterior fixation alone may not be adequate to achieve and maintain burst fracture reduction. Adding screws in the fractured body may improve construct stiffness. This in vitro study evaluates the biomechanical effect of inserting pedicle screws in the fractured body compared with conventional short- and long-segment posterior fixation. METHODS Stable and unstable L2 burst fractur...

given the sensitivity of current ground-based gravitational wave (gw) detectors, any continuous-wave signal we can realistically expect will be at a level or below the background noise. hence, any data analysis of detector data will need to rely on statistical techniques to separate the signal from the noise. while with the current sensitivity of our detectors we do not expect to detect any tru...

Classification of spatial data has become important due to the fact that there are huge volumes of spatial data now available holding a wealth of valuable information. In this paper we consider the classification of spatial data streams, where the training dataset changes often. New training data arrive continuously and are added to the training set. For these types of data streams, building a ...

In phrase-based statistical machine translation, the phrase-table requires a large amount of memory. We will present an efficient representation with two key properties: on-demand loading and a prefix tree structure for the source phrases. We will show that this representation scales well to large data tasks and that we are able to store hundreds of millions of phrase pairs in the phrase-table....

In order to build a classification or regression model, learning algorithms use datasets to set up its parameters and estimate model performance. Training set construction is a part of data preparation. This important phase is often underestimated in data mining process. However, choose the appropriate preprocessing algorithms is often as important as choose the suitable learning algorithm. Goa...